ABYAT operates a vertically integrated home furnishings business across Saudi Arabia and Kuwait, combining physical megastores with e-commerce channels. The tech stack reveals dual operational streams: design-heavy CAD/CAM tools (SketchUp, AutoCAD, SolidWorks, CNC) feeding in-house manufacturing, paired with standard retail infrastructure (SAP, Oracle, WMS, React/Node backend). Active hiring in ops and sales combined with manufacturing-focused projects signals expansion into Qatar and the UAE, but pain points centered on inventory management, supply chain visibility, and SLA compliance suggest operational scaling strains.
Notable leadership hires: Custom Clearance Team Lead
ABYAT is a home furnishings retailer founded in 2005 and headquartered in Riyadh. The company operates megastores in Saudi Arabia and Kuwait, alongside direct-to-consumer e-commerce, and manufactures finished goods in-house using CAD-driven design and CNC machining. With over 2,200 employees across both countries, ABYAT is in active expansion phase, with planned store launches in Qatar and the UAE within three years. The business spans product design, manufacturing, inventory management, and last-mile logistics—all reflected in a diversified hiring and project portfolio focused on production efficiency and delivery optimization.
ABYAT uses CAD/CAM tools (SketchUp, AutoCAD, SolidWorks, Rhino) for design, CNC for manufacturing, and a backend of React, Node.js, Python, PostgreSQL, SAP, Oracle, and AWS. Analytics and reporting run on Google Analytics 4, Tableau, and Power BI.
ABYAT plans to launch additional megastores across Saudi Arabia, Qatar, and the UAE within the next three years, building on existing operations in Saudi Arabia and Kuwait.
ABYAT's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.